This dataset contains the modelled data of the 2D adjoint tidal model in BYECS:
te_con_norm_cost.mat: the normlized cost function of TEi1 (i=1-6, conical surface distribution).
te_con_H_*.mat: the amplitude of TEi1 (i=1-6) before and after assimilation.
te_con_G_*.mat: the phase lag of TEi1 (i=1-6) before and after assimilation.
te_con_ideal_*.mat: the synthetic amplitude (phase lag) in TEi1 (i=1-6).
te_con_manning.mat: the inversed Manning's n coefficient of TEi1 (i=1-6). Note: te_con_manning(1,:,:) is the prescribed distribution.
te_con_manning_error*.mat: the inversed Manning's n coefficient with various observational errors. Note: te_con_manning_error*(1,:,:) is the prescribed distribution.

te_rev_norm_cost.mat: the normlized cost function of TEi2 (i=1-6, revolution parabolic surface distribution).
te_rev_*_*.mat: the amplitude (phase lag) of TEi2 (i=1-6) before and after assimilation.
te_rev_ideal_*.mat: the amplitude (phase lag) of synthetic harmonic constants in TEi2 (i=1-6).
te_rev_manning.mat: the inversed Manning's n coefficient of TEi2 (i=1-6). Note: te_rev_manning(1,:,:) is the prescribed distribution.

pra_*_*.mat: the M2 amplitude (phase lag) of practical experiment before and after assimilation.
pra_manning.mat: the inversed Manning's n coefficient in BYECS.
pra_tidal_current_vel.mat: the modelled velocity of tidal currents in BYECS.
pra_*.mat: the amplitude (phase lag) of the tidal currents to calculate tidal ellipse.

 
Please refer to our paper "The effects of non-local observations on the adjoint estimation of local model parameters: an example of Manning’s n coefficient in a tidal model over the Bohai, Yellow, and East China Seas" for detailed information.